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Ming Jin
Ming Jin
Assistant Professor, School of ICT, Griffith University
Verified email at griffith.edu.au - Homepage
Title
Cited by
Cited by
Year
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
M Jin, S Wang, L Ma, Z Chu, JY Zhang, X Shi, PY Chen, Y Liang, YF Li, ...
International Conference on Learning Representations (ICLR), 2024
12752024
Graph Self-Supervised Learning: A Survey
Y Liu, M Jin, S Pan, C Zhou, Y Zheng, F Xia, SY Philip
IEEE Transactions on Knowledge and Data Engineering 35 (6), 5879-5900, 2022
8532022
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
M Jin, HY Koh, Q Wen, D Zambon, C Alippi, GI Webb, I King, S Pan
IEEE Transactions on Pattern Analysis and Machine Intelligence 46, 10466-10485, 2024
5582024
Foundation Models for Time Series Analysis: A Tutorial and Survey
Y Liang, H Wen, Y Nie, Y Jiang, M Jin, D Song, S Pan, Q Wen
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
4022024
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, JY Zhang, Y Liang, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 46, 6775-6794, 2024
3302024
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Y Zheng, M Jin, Y Liu, L Chi, KT Phan, YPP Chen
IEEE Transactions on Knowledge and Data Engineering 35 (12), 12220-12233, 2021
2372021
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang, J Zhang, Y Wang, ...
arXiv preprint arXiv:2310.10196, 2023
2242023
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
M Jin, Y Zheng, YF Li, S Chen, B Yang, S Pan
IEEE Transactions on Knowledge and Data Engineering 35 (9), 9168-9180, 2022
2222022
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
M Jin, Y Zheng, YF Li, C Gong, C Zhou, S Pan
International Joint Conference on Artificial Intelligence (IJCAI), 2021
2102021
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning
M Jin, Y Liu, Y Zheng, L Chi, YF Li, S Pan
Proceedings of the 30th ACM International Conference on Information …, 2021
2032021
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
X Shi, S Wang, Y Nie, D Li, Z Ye, Q Wen, M Jin
International Conference on Learning Representations (ICLR, Spotlight), 2025
1962025
What Can Large Language Models Tell Us about Time Series Analysis
M Jin, Y Zhang, W Chen, K Zhang, Y Liang, B Yang, J Wang, S Pan, ...
International Conference on Machine Learning (ICML), 2024
169*2024
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
M Jin, YF Li, S Pan
Advances in Neural Information Processing Systems (NeurIPS), 2022
1322022
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
Y Yang, M Jin, H Wen, C Zhang, Y Liang, L Ma, Y Wang, C Liu, B Yang, ...
ACM Computing Surveys, 2024
1272024
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Y Zheng, HY Koh, M Jin, L Chi, KT Phan, S Pan, YPP Chen, W Xiang
IEEE Transactions on Neural Networks and Learning Systems 35 (9), 11802-11816, 2023
882023
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
S Wang, J Li, X Shi, Z Ye, B Mo, W Lin, S Ju, Z Chu, M Jin
International Conference on Learning Representations (ICLR, Oral), 2025
852025
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
S Zhong, W Ruan, M Jin, H Li, Q Wen, Y Liang
International Conference on Machine Learning (ICML), 2025
462025
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Y Zheng, M Jin, S Pan, YF Li, H Peng, M Li, Z Li
IEEE Transactions on Neural Networks and Learning Systems 35 (7), 8882-8896, 2022
352022
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
Y Kong, Y Yang, Y Hwang, W Du, S Zohren, Z Wang, M Jin, Q Wen
Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025
342025
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
Y Zheng, HY Koh, M Jin, L Chi, H Wang, KT Phan, YPP Chen, S Pan, ...
Information Fusion 106, 102255, 2024
342024
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Articles 1–20